About this role
What You'll Be Doing:
- Understand SAP business processes, data structures, and relationships across Supply Chain, Order-to-Cash (OTC), or Finance, translating business requirements into accurate and scalable data models.
- Design, validate, and review conceptual, logical, and physical data models, ensuring alignment with enterprise canonical models, business definitions, and architectural standards.
- Review SAP source-to-target mappings, data structures, business rules, and data contracts to ensure functional accuracy and technical soundness.
- Working with Databricks and their services as per project needs.
- Leverage Databricks platform knowledge to ensure data models support effective data integration, transformation, governance, reporting, and analytics.
- Ensure adherence to data modeling standards, data quality, metadata, lineage, and governance requirements.
- Collaborate with Data Product Managers, Data Engineering Leads, Data Stewards, SAP functional teams, and Enterprise/Solution Architects throughout design, build, and deployment.
- Participate in design reviews, peer reviews, architecture consultations, and CAB documentation to ensure design approval and release readiness.
- Identify data inconsistencies and modeling gaps, recommend improvements, and provide guidance to engineering teams on data design best practices.
What We're Looking For:
- Bachelor's or master's degree in Computer Science, Information Systems, or a related field, with 4–6 years of relevant experience in data modeling, SAP data, or a similar role.
- Strong SAP functional and business domain expertise in at least one area: Supply Chain, Order-to-Cash (OTC), or Finance.
- Good understanding of SAP modules, business processes, master and transactional data, and cross-functional data relationships.
- Strong knowledge of conceptual, logical, and physical data modeling, source-to-target mapping, canonical data models, and data modeling best practices.
- Hands-on experience with Databricks , with a good understanding of its data platform capabilities, SQL, lakehouse architecture, and analytical data processing.
- Understanding of data governance, data quality, metadata, lineage, data harmonization, and enterprise data standards.
- Knowledge of BI, reporting, and analytics requirements and the ability to design models that support downstream data consumption.
- Strong analytical, problem-solving, communication, and stakeholder collaboration skills, with the ability to bridge business, SAP functional, and data engineering teams.
- Strong analytical and problem-solving abilities to identify data-related issues, propose solutions, and make data-driven decisions.
- Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques.
We Offer:
- Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
- 100% remote.
- Flexibility regarding working hours.
- Full-time position
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.